Job Description
We are seeking a visionary Lead AI Engineer to pioneer the technological breakthroughs defining the year 2026. Nexus Horizon Labs is at the intersection of Generative AI and advanced robotics, creating autonomous systems that will redefine the future of work and life.
In this role, you will not just use existing tools; you will help architect the next generation of neural architectures. We are looking for a thought leader who thrives in ambiguity and is passionate about building scalable, ethical, and high-performance AI solutions.
Key Highlights:
- Work on cutting-edge generative models and predictive analytics.
- Competitive compensation package and equity opportunities.
- State-of-the-art office in the heart of San Francisco's tech district.
Responsibilities
- Design and implement scalable deep learning pipelines and large language models tailored for 2026 enterprise needs.
- Lead a high-performance engineering team in researching and deploying autonomous agent technologies.
- Oversee the full machine learning lifecycle, from data ingestion and model training to deployment and MLOps.
- Establish best practices for AI ethics, bias mitigation, and regulatory compliance.
- Collaborate with product managers to translate complex AI capabilities into user-centric features.
- Present technical strategies and roadmaps to executive stakeholders.
Qualifications
- PhD or Master’s degree in Computer Science, AI, or a related technical field.
- 8+ years of experience in software engineering, with at least 4 years in AI/ML leadership.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong background in Natural Language Processing (NLP) and Computer Vision.
- Experience managing remote and hybrid engineering teams.